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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2019 Intel Corporation
#include "test_precomp.hpp"
#include <opencv2/gapi/cpu/gcpukernel.hpp>
namespace opencv_test
{
G_TYPED_KERNEL(GResize3c3p, <GMatP(GMat,Size,int)>, "test.resize3c3p") {
static GMatDesc outMeta(GMatDesc in, Size sz, int) {
GAPI_Assert(in.depth == CV_8U);
GAPI_Assert(in.chan == 3);
GAPI_Assert(in.planar == false);
return in.withSize(sz).asPlanar();
}
};
G_TYPED_KERNEL(GResize3p3p, <GMatP(GMatP,Size,int)>, "test.resize3p3p") {
static GMatDesc outMeta(GMatDesc in, Size sz, int) {
GAPI_Assert(in.depth == CV_8U);
GAPI_Assert(in.chan == 3);
GAPI_Assert(in.planar);
return in.withSize(sz);
}
};
static GMatDesc NV12toRGBoutMeta(GMatDesc inY, GMatDesc inUV)
{
GAPI_Assert(inY.depth == CV_8U);
GAPI_Assert(inUV.depth == CV_8U);
GAPI_Assert(inY.chan == 1);
GAPI_Assert(inY.planar == false);
GAPI_Assert(inUV.chan == 2);
GAPI_Assert(inUV.planar == false);
GAPI_Assert(inY.size.width == 2 * inUV.size.width);
GAPI_Assert(inY.size.height == 2 * inUV.size.height);
return inY.withType(CV_8U, 3);
}
G_TYPED_KERNEL(GNV12toRGBp, <GMatP(GMat,GMat)>, "test.nv12torgbp") {
static GMatDesc outMeta(GMatDesc inY, GMatDesc inUV) {
return NV12toRGBoutMeta(inY, inUV).asPlanar();
}
};
static void toPlanar(const cv::Mat& in, cv::Mat& out)
{
GAPI_Assert(out.depth() == in.depth());
GAPI_Assert(out.channels() == 1);
GAPI_Assert(in.channels() == 3);
GAPI_Assert(out.cols == in.cols);
GAPI_Assert(out.rows == 3*in.rows);
std::vector<cv::Mat> outs(3);
for (int i = 0; i < 3; i++) {
outs[i] = out(cv::Rect(0, i*in.rows, in.cols, in.rows));
}
cv::split(in, outs);
}
GAPI_OCV_KERNEL(OCVResize3c3p, GResize3c3p)
{
static void run(const cv::Mat& in, cv::Size out_sz, int interp, cv::Mat& out)
{
cv::Mat resized_mat;
cv::resize(in, resized_mat, out_sz, 0, 0, interp);
std::vector<cv::Mat> outs(3);
for (int i = 0; i < 3; i++) {
outs[i] = out(cv::Rect(0, i*out_sz.height, out_sz.width, out_sz.height));
}
cv::split(resized_mat, outs);
}
};
GAPI_OCV_KERNEL(OCVResize3p3p, GResize3p3p)
{
static void run(const cv::Mat& in, cv::Size out_sz, int interp, cv::Mat& out)
{
std::vector<cv::Mat> ins(3);
std::vector<cv::Mat> outs(3);
int inH = in.rows / 3;
int inW = in.cols;
int outH = out.rows / 3;
int outW = out.cols;
for (int i = 0; i < 3; i++) {
ins [i] = in(cv::Rect(0, i*inH, inW, inH));
outs[i] = out(cv::Rect(0, i*outH, outW, outH));
cv::resize(ins[i], outs[i], out_sz, 0, 0, interp);
}
}
};
GAPI_OCV_KERNEL(OCVNV12toRGBp, GNV12toRGBp)
{
static void run(const cv::Mat& inY, const cv::Mat& inUV, cv::Mat& out)
{
cv::Mat rgb;
cv::cvtColorTwoPlane(inY, inUV, rgb, cv::COLOR_YUV2RGB_NV12);
toPlanar(rgb, out);
}
};
struct PlanarTest : public TestWithParam <std::pair<cv::Size, cv::Size>> {};
TEST_P(PlanarTest, Resize3c3p)
{
cv::Size in_sz, out_sz;
std::tie(in_sz, out_sz) = GetParam();
int interp = cv::INTER_NEAREST;
cv::Mat in_mat = cv::Mat(in_sz, CV_8UC3);
cv::randn(in_mat, cv::Scalar::all(127.0f), cv::Scalar::all(40.f));
cv::Mat out_mat = cv::Mat::zeros(out_sz.height*3, out_sz.width, CV_8UC1);
cv::Mat out_mat_ocv = cv::Mat::zeros(out_sz.height*3, out_sz.width, CV_8UC1);
cv::GMat in;
auto out = GResize3c3p::on(in, out_sz, interp);
cv::GComputation c(cv::GIn(in), cv::GOut(out));
auto pkg = cv::gapi::kernels<OCVResize3c3p>();
c.apply(cv::gin(in_mat), cv::gout(out_mat), cv::compile_args(pkg));
cv::Mat resized_mat;
cv::resize(in_mat, resized_mat, out_sz, 0, 0, interp);
toPlanar(resized_mat, out_mat_ocv);
EXPECT_EQ(0, cvtest::norm(out_mat, out_mat_ocv, NORM_INF));
}
TEST_P(PlanarTest, Resize3p3p)
{
cv::Size in_sz, out_sz;
std::tie(in_sz, out_sz) = GetParam();
int interp = cv::INTER_NEAREST;
cv::Mat in_mat = cv::Mat(cv::Size{in_sz.width, in_sz.height*3}, CV_8UC1);
cv::randn(in_mat, cv::Scalar::all(127.0f), cv::Scalar::all(40.f));
cv::Mat out_mat = cv::Mat::zeros(out_sz.height*3, out_sz.width, CV_8UC1);
cv::Mat out_mat_ocv = cv::Mat::zeros(out_sz.height*3, out_sz.width, CV_8UC1);
cv::GMatP in;
auto out = GResize3p3p::on(in, out_sz, interp);
cv::GComputation c(cv::GIn(in), cv::GOut(out));
auto pkg = cv::gapi::kernels<OCVResize3p3p>();
c.compile(cv::descr_of(in_mat).asPlanar(3), cv::compile_args(pkg))
(cv::gin(in_mat), cv::gout(out_mat));
for (int i = 0; i < 3; i++) {
const cv::Mat in_mat_roi = in_mat(cv::Rect(0, i*in_sz.height, in_sz.width, in_sz.height));
cv::Mat out_mat_roi = out_mat_ocv(cv::Rect(0, i*out_sz.height, out_sz.width, out_sz.height));
cv::resize(in_mat_roi, out_mat_roi, out_sz, 0, 0, interp);
}
EXPECT_EQ(0, cvtest::norm(out_mat, out_mat_ocv, NORM_INF));
}
TEST_P(PlanarTest, Pipeline)
{
cv::Size in_sz, out_sz;
std::tie(in_sz, out_sz) = GetParam();
int interp = cv::INTER_NEAREST;
cv::Mat in_mat = cv::Mat(cv::Size{in_sz.width, in_sz.height*3/2}, CV_8UC1);
cv::randn(in_mat, cv::Scalar::all(127.0f), cv::Scalar::all(40.f));
cv::Size uv_sz(in_sz.width / 2, in_sz.height / 2);
cv::Mat y_mat = cv::Mat(in_sz, CV_8UC1, in_mat.data);
cv::Mat uv_mat = cv::Mat(uv_sz, CV_8UC2, in_mat.data + in_mat.step1() * in_sz.height);
cv::Mat out_mat = cv::Mat::zeros(out_sz.height*3, out_sz.width, CV_8UC1);
cv::Mat out_mat_ocv = cv::Mat::zeros(out_sz.height*3, out_sz.width, CV_8UC1);
cv::GMat inY, inUV;
auto out = GResize3p3p::on(GNV12toRGBp::on(inY, inUV), out_sz, interp);
cv::GComputation c(cv::GIn(inY, inUV), cv::GOut(out));
auto pkg = cv::gapi::kernels<OCVNV12toRGBp, OCVResize3p3p>();
c.apply(cv::gin(y_mat, uv_mat), cv::gout(out_mat), cv::compile_args(pkg));
cv::Mat rgb, resized_mat;
cv::cvtColorTwoPlane(y_mat, uv_mat, rgb, cv::COLOR_YUV2RGB_NV12);
cv::resize(rgb, resized_mat, out_sz, 0, 0, interp);
toPlanar(resized_mat, out_mat_ocv);
EXPECT_EQ(0, cvtest::norm(out_mat, out_mat_ocv, NORM_INF));
}
INSTANTIATE_TEST_CASE_P(Sanity, PlanarTest,
Values(std::make_pair(cv::Size{8, 8}, cv::Size{4, 4})
,std::make_pair(cv::Size{960, 540}, cv::Size{224, 224})
,std::make_pair(cv::Size{64, 64}, cv::Size{224, 224})
));
} // namespace opencv_test
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